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Richly Activated Graph Convolutional Network for Robust Skeleton-Based Action Recognition 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 5, 页码: 1915-1925
作者:  Song, Yi-Fan;  Zhang, Zhang;  Shan, Caifeng;  Wang, Liang
Adobe PDF(3381Kb)  |  收藏  |  浏览/下载：375/57  |  提交时间：2021/06/15
Skeleton  Robustness  Noise measurement  Three-dimensional displays  Degradation  Standards  Feature extraction  Action recognition  skeleton  activation map  graph convolutional network  occlusion  jittering  
Deep Self-Supervised Representation Learning for Free-Hand Sketch 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 4, 页码: 1503-1513
作者:  Xu, Peng;  Song, Zeyu;  Yin, Qiyue;  Song, Yi-Zhe;  Wang, Liang
收藏  |  浏览/下载：244/0  |  提交时间：2021/05/17
Feature extraction  Task analysis  Strain  Computer architecture  Deep learning  Deformable models  Convolution  Self-supervised  representation learning  deep learning  sketch  pretext task  textual convolution network  convolutional neural network